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Data Structures form the backbone of computer science and software engineering, providing the fundamental mechanisms for organizing, managing, and processing data efficiently. A strong understanding of data structures is essential not only for academic excellence but also for solving realworld computational problems and designing scalable, high-performance systems. This book, Mastering Data Structures: Foundations, Implementation, and Applications, is written with the objective of offering a comprehensive, structured, and application-oriented treatment of data structures. It is designed to bridge the gap between theoretical concepts and practical implementation, enabling learners to develop both conceptual clarity and problem-solving proficiency. The content of this book progresses systematically from basic linear data structures such as arrays, stacks, queues, and linked lists to more advanced non-linear structures including trees, graphs, heaps, and hashing techniques. Each topic is presented with clear explanations, illustrative examples, and well-structured algorithms to facilitate ease of understanding. Emphasis has been placed on time and space complexity analysis to help readers evaluate the efficiency of various approaches. In addition to core concepts, this book integrates practical programming perspectives, primarily using Python, to demonstrate real-world applicability. Numerous examples, exercises, and case studies are included to reinforce learning and encourage hands-on experimentation. A dedicated section on capstone projects has been incorporated to guide students in applying data structure concepts to realistic problem scenarios, thereby fostering analytical thinking and design skills. This book is intended for undergraduate and postgraduate students of Computer Science, Information Technology, and related disciplines. It will also serve as a useful reference for educators, competitive programming aspirants, and professionals seeking to strengthen their foundational knowledge of data structures. The author sincerely hopes that this book will serve as a valuable learning resource, helping readers develop a strong and enduring understanding of data structures and their applications. Constructive feedback and suggestions from readers are warmly welcomed for the improvement of future editions.